Andrés Herencia
Community@andreshere00 · Madrid, Spain
Machine Learning Engineer & AI Solutions Architect • IT engineer with a Master's Degree in Mathematics & Statistics
Agent Skills by Andrés Herencia
Showing 1 vetted skills indexed across 1 GitHub repositories.
Frequently Asked Questions About Andrés Herencia
FAQPage SchemaWhat tasks can I perform with the splitter-mr skill?▼
You can read documents and split them into LLM-ready chunks using SplitterMR readers, splitters, vision models, and embeddings. It supports semantic splitting, multimodal PDF reading, and producing ReaderOutput and SplitterOutput objects for RAG ingestion pipelines.
Who should use the splitter-mr skill?▼
Machine learning engineers and AI solutions architects building retrieval-augmented generation systems benefit most. It targets practitioners who need document chunking, semantic splitting, or multimodal PDF parsing before embedding and indexing content for LLM consumption.
How does splitter-mr fit into a RAG ingestion pipeline?▼
Invoke the skill when working with SplitterMR to read source documents, apply splitters for chunking, and optionally use vision models for multimodal PDFs. The resulting ReaderOutput and SplitterOutput chunks feed directly into embedding and vector indexing stages.
What are the prerequisites for using splitter-mr?▼
You need the SplitterMR library with its readers and splitters available in your environment. For multimodal PDF reading and semantic splitting, access to vision models and embedding models is required, along with source documents to process.